Research methods 3

Question 1

Define nominal data

Answer 1

a frequency count for distinct categories where something can only belong to one category

Question 2

Define ordinal data

Answer 2

where numbers can be placed in ascending order or descending order e.g. a scale. We do not know the true intervals between each rank

Question 3

Define interval data

Answer 3

measurements taken from a scale where each unit is the same size and gap between each unit is fixed and equal.

Question 4

Strength of nominal data (mode)

Answer 4

Easy to generate from Qs, large amount of Qs can be collected and categorized quickly, increasing reliability

Question 5

Weakness of nominal data (mode)

Answer 5

it does not give a numerical score for each pt, this data does not permit sensitive analysis

Question 6

Strength of ordinal data (median)

Answer 6

Indicates relative values on a linear scale instead of just totals; more informative than nominal

Question 7

Weakness of ordinal data (median)

Answer 7

subjective data- as scaled is open to interpretation

Question 8

Strength of interval data (mean)

Answer 8

most informative as points are directly comparative because they are of equal value; scientific measures used to record values are highly reliable and can be used for statistical test

Question 9

weakness of interval data (mean)

Answer 9

in interval scales that do not contain scientific measures, there is no baseline

Question 10

Draw table for statistical tests

Answer 10

CSC
MWS
URP

Question 11

What is a type 1 error

Answer 11

where we wrongfully accept the experimental hyothesis. This mean we believe there is a difference or relationship, when actually no such relationship exists. This is sometimes known as a false positive

Question 12

What is a type 2 error

Answer 12

where we wrongfully accept thr nulll hypothesi. This means we believe there is no difference or relationship when there is. Also known as a flase negative